Sunday, March 22, 2020

Scope ambiguity in natural language processing

Scope ambiguity in natural language processing, Define scope ambiguity, examples of scope ambiguity, Scope ambiguity is a type of syntactic ambiguity

Scope ambiguity is a type of syntactic ambiguity

Syntactic ambiguity 

It is a type of ambiguity where the doubt is about the syntactic structure of the sentence. That is, there is a possibility that a sentence could be parsed in many syntactical forms (a sentence may be interpreted in more than one way). The doubt is about which one among different syntactical forms is correct.
For example, the sentence “old men and women” is ambiguous. Here, the doubt is that whether the adjective old is attached with both men and women or men alone.

Scope ambiguity 

It arises when scope of a part of a sentence is unclear. It usually happens when a sentence have two or more quantifiers (eg. the words like every, any, some etc.).
For example, the sentence “Every man loves a woman” has two possible meanings as follows;
1.     For every man there is a woman such that he loves her
2.     There is one particular woman who is loved by every man

Based on the scope given to the quantifiers “every” and “a”, the meaning of the sentences could be decided. For instance, if the scope is given to the quantifier every, then the meaning 1 arises. If the scope is given to the quantifier a, then the meaning 2 arises.


What is scope ambiguity?

Define scope ambiguity in NLP

Why scope ambiguity is one of the problems in NLP

Types of ambiguity

Example English sentences with scope ambiguity

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